PubMed COVID-19 Clinical Care

CONCLUSION: A personal ventilation hood significantly reduced airborne particle escape, considerably lowering infectious virus contamination in an indoor environment. Our findings support the further development of source control devices to mitigate

CONCLUSIONS: The findings indicate that understanding of medication error documentation and of the importance of accurate extraction of information from case narratives, as well as knowledge of MedDRA^(®) content and coding guidelines need to be

CONCLUSION: Our study indicates that virtual care was an attractive option for caregivers due to the safety, reassurance, and convenience provided. The strong patient desire for continued availability post-pandemic will be important considerations in

In a cross-sectional study, we measured the impact of the first three COVID-19 pandemic waves and two earthquakes, occurring during the same period in Croatia, on the quality of life (QoL) of the general adult population. An online survey consisting

Aerosol transmission has played a leading role in COVID-19 pandemic. However, there is still a poor understanding about how it is transmitted. This work was designed to study the exhaled breath flow dynamics and transmission risks under different

CONCLUSIONS: Our work demonstrates the importance of bibliometrics in aggregating information that otherwise would not be available in a granular analysis, detecting unknown patterns in Radiomics publications, while highlighting potential

CONCLUSIONS: Laboratory studies have identified multiple mechanisms by which bacteria can develop tolerance or resistance to QACs and antibiotics. De novo development of tolerance or resistance in real-world settings is uncommon. Increased attention

CONCLUSION AND IMPLICATIONS: Most EOL care indicators preserved the level of quality, regardless of dementia and the COVID-19 pandemic. Disparities in spiritual care may exist across people with and without dementia.

Social network analysis is a popular tool to understand the relationships between interacting agents by studying the structural properties of their connections. However, this kind of analysis can miss some of the domain-specific knowledge available

A non-covalent oral drug targeting SARS-CoV-2 main protease (M^(pro)), ensitrelvir (Xocova), has been developed using structure-based drug design (SBDD). To elucidate the factors responsible for enhanced inhibitory activities from an in silico